ArticlePituitary2019
Prediction of recurrence and remission within 3 years in patients with Cushing disease after successful transnasal adenomectomy.
Article in Pituitary, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Using machine learning to predict remission after surgery for pituitary adenoma: a systematic review and meta-analysis.Endocrine · 2025Pooled it
- Prediction of recurrence after surgery for pituitary adenoma using machine learning- based models: systematic review and meta-analysis.BMC endocrine disorders · 2025Pooled it
- [Prognostic research in endocrinology: design and common errors].Problemy endokrinologii · 2026Review
- Machine Learning Approaches to Differentiate Sellar-Suprasellar Cystic Lesions on Magnetic Resonance Imaging.Bioengineering (Basel, Switzerland) · 2023Article
- An individualized approach to the management of Cushing disease.Nature reviews. Endocrinology · 2023Review
- Machine Learning Models to Forecast Outcomes of Pituitary Surgery: A Systematic Review in Quality of Reporting and Current Evidence.Brain sciences · 2023Review
- Historical and future trends in emergency pituitary referrals: a machine learning analysis.Pituitary · 2022Article
- Article
- Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing's Disease.Frontiers in endocrinology · 2021Article
- An Integrated Clinical Score to Predict Remission in Cushing's Disease.Indian journal of endocrinology and metabolismArticle
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSome laboratory and clinical features are associated with a probability of recurrence after transnasal adenomectomy for Cushing disease (CD). However, there is no consensus on a set of predictors. Rules for prediction of recurrence were not proposed earlier.
aimTo develop prediction model of recurrence/remission after successful neurosurgical treatment for CD.
methodsRetrospective single-site comparative study included 349 patients (52 men and 297 women) with a verified diagnosis of CD who underwent effective endoscopic transsphenoidal adenomectomy between 2007 and 2014. Clinical and laboratory parameters were evaluated. Laboratory tests were performed using immunochemiluminescent method. Time-to-event analysis and ROC-analysis were applied. Multivariate models were developed using logistic regression and artificial neural network (ANN).
resultsPostoperative cortisol and ACTH levels and their combinations cannot be used for prediction of recurrence. ANN for prediction of recurrence within 3 years after successful surgery was developed. Input variables are age, duration of the disease, MRI data on adenoma, morning postoperative levels of ACTH and cortisol, output variable is binary (recurrence/remission). Predictive value for remission is 93%, 95% CI [89%; 96%], and predictive value for recurrence is 85%, 95% CI [71%; 94%]. Web-calculator based on the model is developed and free for use.
conclusionEffective method for prediction of recurrence and long-term remission within 3 years after successful endoscopic transsphenoidal adenomectomy is proposed.
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